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Module descriptions Master program Electrical Engineering and Information Technology March 06, 2019 Table of contents Pflichtmodule (Compulsory Modules) Electromagnetic Field Theory.............................................................................................................. 3 Electronic Circuits................................................................................................................................ 4 Digital Communication Systems.......................................................................................................... 5 Digital Information Processing............................................................................................................. 6 Power Electronics................................................................................................................................. 7 Power Network Planning (and Operation)............................................................................................ 8 Systems and Control............................................................................................................................. 9 Projects............................................................................................................................................... 10 Technische Wahlpflichtmodule EEIT (Technical Elective Modules) Studienrichtung Automation Systems (Field of Study Automation Systems) Distributed Control Systems (will be discontinued in summer 2020)................................................. 11 Automation Lab.................................................................................................................................. 12 Non-linear Control.............................................................................................................................. 13 Process Control................................................................................................................................... 14 Structure and Behaviour Modelling – UML (will be discontinued in summer 2020) ......................... 15 Optimal Control / Predictive Control.................................................................................................. 16 Studienrichtung Information and Communication Technology (Field of Study Information and Communication Technology) Introduction to RF Communication Systems...................................................................................... 17 Image Coding..................................................................................................................................... 18

Module descriptions Electrical Engineering and Information ... · 2 hours/week – lecture, 1 hours/week - exercises Autonomous work: Post processing of lectures, preparation of exercises,

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Page 1: Module descriptions Electrical Engineering and Information ... · 2 hours/week – lecture, 1 hours/week - exercises Autonomous work: Post processing of lectures, preparation of exercises,

Module descriptions

Master program

Electrical Engineering and Information Technology

March 06, 2019

Table of contents

Pflichtmodule (Compulsory Modules)

Electromagnetic Field Theory..............................................................................................................3

Electronic Circuits................................................................................................................................4

Digital Communication Systems..........................................................................................................5

Digital Information Processing.............................................................................................................6

Power Electronics.................................................................................................................................7

Power Network Planning (and Operation)............................................................................................8

Systems and Control.............................................................................................................................9

Projects...............................................................................................................................................10

Technische Wahlpflichtmodule EEIT (Technical Elective Modules)

Studienrichtung Automation Systems (Field of Study Automation Systems)

Distributed Control Systems (will be discontinued in summer 2020).................................................11

Automation Lab..................................................................................................................................12

Non-linear Control..............................................................................................................................13

Process Control...................................................................................................................................14

Structure and Behaviour Modelling – UML (will be discontinued in summer 2020).........................15

Optimal Control / Predictive Control..................................................................................................16

Studienrichtung Information and Communication Technology (Field of Study Information and Communication Technology)

Introduction to RF Communication Systems......................................................................................17

Image Coding.....................................................................................................................................18

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Medical Imaging - CT........................................................................................................................19

Speech Recognition............................................................................................................................20

FPGA and Microcontroller Programming...........................................................................................21

Theoretical Neuroscience II................................................................................................................22

Digital Information Processing Laboratory........................................................................................23

Studienrichtung Microsystems (Field of Study Microsystems)

Die Option „Mikrosystems“ wird zurzeit nicht angeboten (not offered at the moment).....................24

Studienrichtung Power and Energy (Field of Study Power and Energy)

Electromagnetic Compatibility (EMC)...............................................................................................25

Power Electronic Components and Systems.......................................................................................26

Renewable Energy Sources................................................................................................................27

Power System Economics and Special Topics....................................................................................28

Digital Protection of Power Networks................................................................................................29

Control of AC Drives (Regelung von Drehstrommaschinen).............................................................30

Fachübergreifend (Interdisciplinary)

Integrated Project...............................................................................................................................31

Ultrasonic Sensors for Imaging..........................................................................................................32

Introduction into Medical Imaging Technologies...............................................................................33

Power Systems Control and Optimization..........................................................................................34

Master Electrical Engineering and Information Technology - Module descriptions 2

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Pflichtmodule (Compulsory Modules)

ModuleElectromagnetic Field Theory

Objectives and contents

Objectives:

The student will know mathematical basics (vector analysis, operators and integral

theorems) know and understand fundamental laws of electromagnetics,

constituting the system of Maxwell's field equations and the boundary conditions for the different fields

learn how to solve basic problems for static and dynamic fieldsContents:

1. Mathematical fundamentals 2. Static electric fields3. Stationary currents and the static magnetic field4. Time-varying electromagnetic

Teaching Lectures and exercises

Literature J.A. Edminster, Schaum's Outline of Electromagnetics - (Schaum's Outline Series), McGraw-Hill Book Company

Prerequisites Bachelor in Electrical Engineering or related studies

Usability of the module

Compulsory module for the Master Course “Electrical Engineering and Information Technology”

Exam Written test at the and of the course

Credit points 5 Credit Points = 150 h (42 h time of attendance + 108 h autonomous work)

Work load Time of attendance: 2 hours/week – lecture, 1 hours/week - exercises Autonomous work: Post processing of lectures, preparation of exercises, preparation of exam

Availability Every winter semeste

Duration One semster

Responsibility Prof. Dr. -Ing. Marco Leone (FEIT-IMT)

Master Electrical Engineering and Information Technology - Module descriptions 3

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ModuleElectronic Circuits

Objectives and contents

Objectives: The student will

understand the main function principles on the interface between analog and digital circuit design

have an overview about the realization of some complex function blocks

Contents: digital analog converters: methods, characteristics, errors, applications analog digital converters: classification, methods, characteristics,

errors, applications phase locked loops: principle, linear model, circuit design of the

function blocks, applications , characteristics, circuit design of some function blocks, design

process, introduction VHDL design and test of digital circuits with programmable logic devices

Teaching Lectures, exercises and laboratory

Literature U. Tietze, C. Schenk, D. Gamm: Electronic Circuits: Handbook for Design and Applications. Springer R. Best: Phase-Locked Loops: Design, Simulation and Applications. McGraw-Hill

Prerequisites Bachelor in Electrical Engineering or related studies

Usability of the module

Optional module in the Master Course “Electrical Engineering and Information Technology”

Exam Oral test at the end of the course

Credit points 5 Credit points = 150 h (42 h time of attendance and 108 h autonomous work)

Work load Time of attendance 2 hours/week - lecture 1 hours/week – exercises/laboratory

Autonomous work post processing of lectures and laboratory work, preparation of

exercises, laboratory work, research report and examAvailability Every winter semester

Duration One semster

Responsibility Dipl.-Ing. Helmut Bresch (FEIT-IIKT)

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ModuleDigital Communication Systems

Objectives and contents

Objectives:

The student will Gain knowledge about the functions and properties of digital

communication systems Understand the physical principles underlying digital communication Gain knowledge about the modern wired and wireless digital

communication standards

Contents: Introduction Signal representation Stochastic processes and noise Sampling, quantization, and coding Transmission bandwidth, data rate, and channel capacity Calculation of error rates PCM, ASK, PSK, and FSK modulation techniques OFDM and CDMA Modeling of wireless channels

Teaching Lectures and exercises

Literature Jerry D. Gibson: Principles of Digital and Analog Communications. Macmillian Publishing Company, 1989, ISBN 0-02-341780-3

Prerequisites Bachelor in Electrical Engineering or related studies

Usability of the module

Mandatory module for the Master “Electrical Engineering and Information Technology”

Exam Written exam K120 at the end of the course

Credit points 5 Credit points = 150 h (42 h time of attendance and 108 h autonomous work)

Work load Time of attendance 2 hours/week - lecture 1 hours/week – exercises

Autonomous work post processing of lectures, preparation of exercises, research report

and examAvailability Every summer semester

Duration One semester

Responsibility Prof. Dr. -Ing. Abbas Omar (FEIT-IIKT)

Master Electrical Engineering and Information Technology - Module descriptions 5

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ModuleDigital Information Processing

Objectives and contents

Objectives:

• The participant has an overview of basic problems and methods of digital signal processing.

• The participant understands the functionality of a digital signal processing system and can mathematically explain the modus of operation.

• The participant can assess applications in terms of stability and other markers. He / She can calculate the frequency response and reconstruction of analogue signals.

• The participant can perform these calculations and assessments as well on stochastically excited digital systems.

• The participant can apply this knowledge in a field of specialization, e.g. Medical Signal Analysis

Contents:

1. Digital Signals and Digital LTI Systems2. Z-Transform and Calculations of Inverse Z-Transforms3. System Analysis by Difference Equations4. Sampling and Reconstruction5. Synthesis and analysis of such systems6. Discrete and Fast Fourier Transformations7. Processing of Stochastic Signals by LTI-Systems: Correlation Techniques

and Model-Based Systems (ARMA)Selected Specialization Topics, e.g. Medical Signal Analysis

Teaching Lecture and exercises

Literature Oppenheim, A; Schafer R (2013): "Discrete Time Signal Processing", 1056 pages,Pearson, ISBN: 978-1292025728Lathi, B P; Green, R A (2014) “Essentials of Digital Signal Processing”, 748 pages, Cambridge University Press, ISBN: 978-1-107-05932-0

Prerequisites Bachelor in Electrical Engineering or related studies

Knowledge of signals and systems, Analog Fourier transformations

Usability of the module

Master Courses in the Faculty of Electrical Engineering and Information Technology, and other Master Courses

Exam Mandatory participation in exercise classes, successful results in exercises / written exam at the end of the course

Credit points 5 Credit points = 150 h (42 h time of attendance and 108 h autonomous work)

Work load Time of attendance

• 2 hours/week - lecture• 1 hours/week -

exercises Autonomous

work

postprocessing of lectures, preparation of exercises and examAvailability Winter semester, every year

Duration One semester

Responsibility Prof. Dr. rer. nat. Andreas Wendemuth (FEIT-IIKT)

Master Electrical Engineering and Information Technology - Module descriptions 6

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ModulePower Electronics

Objectives and contents

Objectives:

Knowledge about important power electronic circuits shall be imparted. Major methods to understand power electronic circuits are practised. Applications will be demonstrated in the exercise. Cross-links to related fields of electrical and information engineering will be shown.

Contents: choppers buck chopper boost chopper phase leg self commutated bridges with constant voltage DC link H-bridge

three phase bridge rectifiers single and three phase uncontrolled, half controlled,

controlled AC controllers

Teaching Lectures, exercises

Literature Ned Mohan: Power electronics - converters, applications and design; Wiley, Hoboken NJ, 3rd edition 2003

Prerequisites Bachelor in Electrical Engineering or related studies, comprising, fundamentals of electrical engineering, electronics – circuit theory, fundamentals of semiconductor components, mathematics

Usability of the module

Compulsory module for the Master Course “Electrical Engineering and Information Technology” belonging to the field of electrical energy systems

Exam Written examination without auxiliaries at the and of the course

Credit points 5 Credit points = 150 h (42 h time of attendance and 108 h autonomous studies)

Work load Time of attendance 2 hours/week – lecture 1 hour/week – exercises

Autonomous work postprocessing of lectures preparation of exercises and exam

Availability Winter semester

Duration One semester

Responsibility Prof. Dr. -Ing. Andreas Lindemann (FEIT-IESY)

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ModulePower Network Planning (and Operation)

Objectives and contents

Objectives:

The student will learn about steady-state and quasi-stationary algorithms to model and calculate grid states for the purpose of power system planning and operation. This includes the modelling of topology and equipment in natural and modal components, power flow calculation, state estimation, stability and short-circuit calculations as well as modelling of shunt and series faults.

Contents: Introduction to the tasks of network planning and system operation Equation systems to describe steady-state and quasi-steady-state problems

in electric power networks Grid modeling using modal component systems Basic algorithms of power flow, short-circuit and stability calculations as

well as state estimation Introduction to power grid modelling with MATLAB

Teaching Lectures and exercises

Literature Electric Power System Planning“, H. Seifi, M.S. Sepasian, Springer-Verlag, 2011 „Power system engineering : planning, design, and operation of power systems and equipment”, Juergen Schlabbach. - Weinheim : WILEY-VCH, 2008

Prerequisites Bachelor in Electrical Engineering or related studies

Usability of the module

Compulsory module for the Master Course “Electrical Engineering and Information Technology”

Exam Written test at the end of the course

Credit points 5 Credit points = 150 h (42 h time of attendance and 108 h autonomous work)

Work load Time of attendance 2 hours/week - lecture 1 hours/week - exercises

Autonomous work Post processing of lectures preparation of exercises and exam

Availability Every winter semester

Duration One semester

Responsibility Prof. Dr.-Ing. habil. Martin Wolter (FEIT-IESY)

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ModuleSystems and Control

Objectives and contents

Objectives:

The student will learn how to mathematically describe and analyses dynamic systems design feedback control systems using frequency and time domain

techniques efficiently apply modern software tools to achieve the aforementioned

goals

Contents: Introduction to control systems Mathematical models of systems Feedback control systems characteristics The performance of feedback control systems The stability of linear feedback systems The root locus method Frequency response method The design of state variable feedback systems (Full-state feedback

design and observer design methods)Teaching Lectures and exercises

Literature R. C. Dorf, R. H. Bishop: Modern Control Systems, Pearson Education, 2005

Prerequisites Bachelor in Electrical Engineering or related studies

Usability of the module

Compulsory module for the Master’s course “Electrical Engineering and Information Technology”, optional module for students of the “International Max-Planck Research School” and the Master’s course “Chemical Process Engineering”

Exam Written test at the and of the course

Credit points 5 Credit points = 150 h (42 h time of attendance and 108 h autonomous work)

Work load Time of attendance 2 hours/week - lecture 1 hours/week - exercises

Autonomous work post-processing of lectures, preparation of exercises and exam

Availability Every winter semester

Duration One semester

Responsibility Prof. Dr.-Ing. habil. Achim Kienle (FEIT-IFAT)

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ModuleProjects

Objectives and contents

Objectives: The student knows the typical processes and techniques of scientific work.

After passing the module, the student is able to analyze the current state of science and technology and to develop own scientific project ideas. The student can perform a market analysis, develop project specifications and write a scientific project report.

The student knows the basic rules of scientific writing. After completing the module, the student is able to structure a report or thesis, to create significant plots and figures, and to cite all used sources. The student is very well aware of the problem of plagiarism. The student is also able to defend his project results in an oral presentation.

Contents: Part 1 (Non-technical Project Seminar) The seminar consists of four lectures with the topics

Literature survey and reference management, Rules of scientific writing, Visualization, schematics and diagrams, Effective oral presentations,

writing a short paper (1 page) and giving a short presentation (5 minutes) about a given topic

Part 2 (Non-technical Project Work)

application of the obtained skills on a specific topic under supervision of the project supervisor

Schedule Lecture week Event1 to 4 Lectures of part 5 Short paper submission/review of part 16 Short presentations of part 1,

issue of the certificates of attendance of part 1 7 to 14 Part 2

Teaching Research project

Prerequisites Part 2 of the module can only be attended if the part 1 was successfully passed

Usability of the module

Master EEIT

Exam Research project (PRO)

Credit points 5 Credit Points = 150 h

Work load The first part of the module is accounted with 12 hours of attendance and 8 hours ofautonomous work. The remaining time for the second part of the module is then 30 hours of attendance and 100 hours of autonomous work.

Availability Every summer semester

Duration One semester

Responsibility Dr. Magdowski in conjunction with work supervisor

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Technische Wahlpflichtmodule EEIT (Technical Elective Modules)

Studienrichtung Automation Systems (Field of Study Automation Systems)

ModuleDistributed Control Systems (will be discontinued in summer 2020)

Objectives and contents

Objectives: Architecture of distributed control systems Function chain of field devices Programmable Logic Controller Supervisory systems Industrial communication system Engineering

Contents: The lectures and exercises provide students with basic knowledge about instrumentation of automation systems. The instrumentation executes the algorithms of the application design. The devices are connected via digital industrial communication systems therefore they perform together a distributed control system. The students get theoretical and practical skills in installation and commissioning of distributed control systems.

Teaching Lectures (2) + Exercises (1) + Lab Courses (1)

Literature Richard Zurawski (ed): The industrial information technology. Handbook. CRC Press 2005. ISBN 0-8493-1985-4

Prerequisites Bachelor in Electrical Engineering or related studies

Usability of the module

Optional module for the Master Course “Electrical Engineering and Information Technology”

Exam Written test at the end of the module

Credit points 5 Credit Points = 150 h (56 h time of attendance + 94 h autonomous work)

Work load Time of attendance 2 hours/week – lecture 1 hours/week – exercises 1 hours/week – lab courses

Autonomous work Post processing of lectures, preparation of exercises, preparation of

presentation, preparation of exam

Availability Every summer semester

Duration One semester

Responsibility Prof. Dr.-Ing. Christian Diedrich (FEIT-IFAT)

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ModuleAutomation Lab

Objectives and contents

Objectives: To develop practical skills in the field of (process) automation.

Contents: The acquired knowledge from the courses “Systems and Control” and “Distributed Control Systems” should be applied to practical examples/systems of automation. For these purposes miscellaneous experiments will be conducted.

Teaching Laboratory

Literature According to modules "Systems and Control” and “Distributed Control Systems”

Prerequisites Bachelor in Electrical Engineering or related studies, Systems and Control, Distributed Control Systems

Usability of the module

Optional module for the Master Course “Electrical Engineering and Information Technology”

Exam Oral test after every experiment

Credit points 5 Credit points = 150 h (28 h time of attendance and 122 h autonomous work)

Work load Time of attendance 2 hours/week - laboratory

Autonomous work post processing and preparation of laboratory

Availability Every winter semester

Duration One semester

Responsibility Prof. Dr.-Ing. habil. Achim Kienle (FEIT-IFAT)

Master Electrical Engineering and Information Technology - Module descriptions 12

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ModuleNon-linear Control

Objectives and contents

Objectives: The students will be able to describe and model nonlinear systems, to analyze the system dynamic behaviour such as stability considering different stability concepts, and to design controllers for nonlinear systems.

Contents: Review of mathematical basics Review of linear MIMO systems Lyapunov stability Concepts of BIBO stability Passivity I/O linerarization Design of controllers for nonlinear systems

Teaching Lecture and exercises/tutorials

Literature D.E. Kirk. Optimal Control Theory – An Introduction. Prentice-Hall Inc., Englewood Cliffs, New Jersey, 2004 D.P. Bertsekas. Dynamic Programming and Optimal Control, volume 1. Athena Scientific Press, Belmont, MA, 2006 R. Bellman. Dynamic Programming. Princeton University Press, Princeton, New Jersey, 1957

Prerequisites Knowledge in control theory

Usability of the module

Optional module for the Master Courses “Systemtechnik und Technische Kybernetik” Optional module for the Master Course “Electrical Engineering and Information Technology”

Exam Oral test at the end of the course and project report

Credit points 5 Credit points = 150 h (42 h time of attendance and 108 h autonomous work)

Work load Time of attendance 2 hours/week – lecture 1 hour/week – exercise/tutorial

Autonomous work Post-processing of lectures, preparation of project work/report and

examAvailability Every summer semester

Duration One semester

Responsibility Prof. Dr.-Ing. Rolf Findeisen (FEIT-IFAT)

Master Electrical Engineering and Information Technology - Module descriptions 13

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ModuleProcess Control

Objectives and contents

Objectives: Students should

learn fundamentals of multivariable process control with special emphasis on decentralized control

gain the ability to apply the above mentioned methods for the controlof single and multi unit processes

gain the ability to apply advanced software (MATLAB) for computeraided control system design

Contents: 1. Introduction 2. 2. Process control fundamentals

Mathematical models of processes Control structures Decentralized control and Relative gain analysis Tuning of decentralized controllers Control implementation issues

3. Case studies 4. 4. Plantwide control

Teaching Lecture and exercises/tutorials

Literature B. W. Bequette: Process Control, Modeling Design and Simulation, Pearson Education, 2003

Prerequisites Basic knowledge in control theory

Usability of the module

Compulsory module for the Master Course “Elektrotechnik und Informationstechnik” Option “Automatisierungstechnik” Optional module for the Master Courses “Systemtechnik und Technische Kybernetik” and “Chemical Process Engineering”, for students of the International Max-Planck Research School Optional module for the Master Course “Electrical Engineering and Information Technology”

Exam Oral test at the end of the course and project report

Credit points 5 Credit points = 150 h (42 h time of attendance and 108 h autonomous work)

Work load Time of attendance 2 hours/week – lecture 1 hour/week – exercise/tutorial

Autonomous work Post-processing of lectures, preparation of project work/report and exam

Availability Every summer semester

Duration One semester

Responsibility Prof. Dr.-Ing. habil. Achim Kienle (FEIT-IFAT)

Master Electrical Engineering and Information Technology - Module descriptions 14

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ModuleStructure and Behaviour Modelling – UML (will be discontinued in summer 2020)

Objectives and contents

Objectives: Basements of object oriented modelling of technical and medicine systems Main focus on modelling of structure and behaviour aspects Description method using UML Practical use of the UML tool Rhapsody

Contents: The module teaches object-oriented system analyses and modelling approach applying mechatronic, embedded and medicine systems. This includes the principles of structural and behavioural analyses and syntheses processes. Systematic specification and development processes are presented using the UML languages for the mechatronic components and medicine systems. The basis of UML languages as well as the relations between language elements (e.g. class diagram, sequence diagram and state machine) is explained. The lecture and exercises are based on the UML tool Rhapsody of IBM.

Teaching Lectures (2) + Exercises (1)

Literature Booch/ Rumbaugh/ Jacobson: Das UML- Benutzerhandbuch, Addison Wesley, 2006 Harald Störrle: UML2 für Studenten, Pearson Studium, 2005

Prerequisites Bachelor in Electrical Engineering or related studies

Usability of the module

Optional module for the Master Course “Electrical Engineering and Information Technology”

Exam Oral test at the end of the course

Credit points 5 Credit Points = 150 h (42 h time of attendance + 108 h autonomous work)

Work load Time of attendance 2 hours/week - lecture 1 hours/week - exercises

Autonomous work Post processing of lectures, preparation of exercises, preparation of

presentation, preparation of exam

Availability Every winter semester

Duration One semester

Responsibility Prof. Dr.-Ing. Christian Diedrich (FEIT-IFAT)

Master Electrical Engineering and Information Technology - Module descriptions 15

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ModuleOptimal Control / Predictive Control

Objectives and contents

Objectives: The module provides an introduction to the formulation, theory, solution, and application of optimal control theory for dynamic systems subject to constraints.The students are enabled to mathematically formulate, analyse and solve optimal control problems appearing in many applications spanning from medicine, process control up to systems biology. Besides an understanding of the theoretical basis the students are enabled to derive numerical solutions for optimal control problems using different numerical solution algorithms. The acquired methods are deepened in the exercises considering small example systems. In the frame of a mini-projects the students derive numerical solutions of small, practical relevant optimal control problems and compare them to analytic solutions.Contents:

Static optimization Numerical algorithms Dynamic programming, principle of optimality, Hamilton-Jacobi-Bellman

equation Variational calculus, Pontryagin maximum principle Numerical solution of optimal control problems Infinite and finite horizon optimal control, LQ optimal control Model predictive control Game theory Application examples from various fields such as chemical engineering, economics, aeronautics, robotics, biomedicine, and systems biology

Teaching Lectures (2) + Exercises (1)

Literature

Prerequisites

Usability of the module

Compulsory module for the Master Course ETIT and WETIT, option “Automatisierungstechnik”.Optional module for the Master Courses STK, MTK and EEIT

Exam Written exam K120 at the end of the course

Credit points 5 Credit Points = 150 h (42 h time of attendance + 108 h autonomous work)

Work load Time of attendance 2 hours/week - lecture 1 hours/week - exercises

Autonomous work Post processing of lectures, preparation of exercises, preparation of

presentation, preparation of exam

Availability Every winter semester

Duration One semester

Responsibility Prof. Dr.-Ing. Rolf Findeisen (FEIT-IFAT)

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Studienrichtung Information and Communication Technology (Field of Study Information and Communication Technology)

ModuleIntroduction to RF Communication Systems

Objectives and contents

Objectives: The student will

Understand the differences between low-frequency and radio-frequency networks

Gain knowledge about radio-frequency communication systems Be capable of analyzing and designing selected components of radio-

frequency communication systems

Contents: Introduction Transmission lines Scattering parameters Matching networks and filters Attenuators, phase shifters, directional couplers, and circulators Microwave amplifiers and oscillators

Teaching Lectures and exercises

Literature R.E. Collin, "Foundations for Microwave Engineering", McGraw-Hill, 1966

Prerequisites Bachelor in Electrical Engineering or related studies

Usability of the module

Master Courses in the Faculty of Electrical Engineering and Information Technology, and other Master Courses

Exam Written exam K90 at the end of the course

Credit points 5 Credit points = 150 h (42 h time of attendance and 108 h autonomous work)

Work load Time of attendance 2 hours/week - lecture 1 hours/week – exercises

Autonomous work post processing of lectures, preparation of exercises, research report and

exam

Availability Every summer semester

Duration One semester

Responsibility Prof. Dr.-Ing. Abbas Omar (FEIT-IIKT)

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ModuleImage Coding

Objectives and contents

Objectives: Learn about methods and techniques of image coding as essential part of image communication. Problems of image acquisition are treated as far as they are relevant for image coding.

Contents: Fundamentals Basics of human perception TV systems Basics of information Quantisation Lossless Coding Lossy Coding DPCM Interframe Prediction Transform Coding Content based and semantic Coding Standards and applications

Teaching Lectures and exercises

Literature John W. Woods: Multidimensional signal, image, and video processing and coding, Academic Press, 2012,

Prerequisites Bachelor in Electrical Engineering or related studies

Usability of the module

Optional module for the Master Course “Electrical Engineering and Information Technology”

Exam Oral test at the end of the module

Credit points 5 Credit Points = 150 h (42 h time of attendance + 108 h autonomous work)

Work load Time of attendance 1 x 2 hours/week - lecture 1 x 1 hours/week - exercises

Autonomous work Post processing of lectures, preparation of exercises, preparation of

presentation, preparation of exam

Availability Every winter semester

Duration One semester

Responsibility Dr.-Ing. Gerald Krell (FEIT-IESK)

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ModuleMedical Imaging - CT

Objectives and contents

Objectives: The student will:

understand the system theory of imaging systems learn the functional principle of the computed tomography understand the mathematical principle of tomographic reconstruction have an overview about the current research work in the area of

tomographic imaging Content: Starting with the system theory of imaging systems, the first part of the module is focused on the physical properties of x-rays and it’s interaction with manner. The second part deals with X-ray based standard radiography. The third and final part brings the mathematical methods of tomographic image reconstruction into focus. The particular content is:

System theory of imaging systems Basic principle of underlying physics X-ray tubes and detectors Radiography Reconstruction: Fourier-based principle, Filtered back projection,

Algebraic approach, statistical methods Beam-geometry: Parallel-, Fan- and Conebeam Implementation Artefacts and Adjustment

Teaching Lecture and tutorial

Literature Provided by e-learning system

Prerequisites Digital Signal Processing, Fundamental Physics

Usability of the module

Master Courses in the Faculty of Electrical Engineering and Information Technology, and other Master Courses

Exam Oral test

Credit points 5 Credit Points = 150 h (42 h time of attendance + 108 h autonomous work)

Work load Time of attendance: 2 hours/week – lecture 1 hour/week – tutorial

Autonomous work: Rework of lectures and tutorial, preparation of excersices

Availability Every summer semester

Duration One semester

Responsibility Prof. Dr. rer. nat. Georg Rose (FEIT-IIKT)

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ModuleSpeech Recognition

Objectives and contents

Objectives: The participant understands basic problems and methods of automatic

speech recognition with Hidden Markov Models. The participant understands the functionality of the relevant computer

modules in speech recognition and can mathematically explain the modus of operation.

The participant knows specific requirements for speech recognition. These can include reliability, availability, speaker verification.

The participant knows specific requirements and differences in command, dictation and dialogue mode, particularly in the field of applications (e.g. medical) and support systems.

Contents: 1. Production and Reception of Natural Speech 2. Feature Extraction 3. Classification Techniques 4. Hidden Markov Models (DTW, Viterbi, Baum-Welch) 5. Language Models 6. Aspects of robust Speech Recognition: adaptivity, reliability, availabilty,

speaker verification. 7. Practical Speech Recognition Systems Design

Teaching Lecture, exercises, lab course

Literature Rabiner, L & Juang, B (1993): „Fundamentals of Speech Recognition“, 507 pages,Prentice Hall, ISBN: 0-13-015157-2

Prerequisites Bachelor in Electrical Engineering or related studies

Knowledge of digital signal processing

Usability of the module

Optional module for the Master Course “Electrical Engineering and Information Technology”

Exam Mandatory participation in exercise classes, successful results in exercises / written exam at the and of the course

Credit points 5 Credit points = 150 h (56 h time of attendance and 94 h autonomous work)

Work load Time of attendance 2 hours/week – lecture 1 hours/week – exercises 1 hours/week – lab courses

Autonomous work postprocessing of lectures preparation of exercises and exam

Availability Once a year, Summer Semester

Duration One term

Responsibility Prof. Dr. rer. nat. Andreas Wendemuth (FEIT-IESK)

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ModuleFPGA and Microcontroller Programming

Objectives and contents

Objectives: The student will

have an overview about the design process of FPGAs and Microcontrollers Contents:

Programmable logic devices: overview, circuit design of special function blocks, introduction in the hardware description languages and their realization

Microcontroller: overview, description of special function blocks from the view of circuit design, realization of projects in assembly language and C

simulation and methods of debugging

Teaching Laboratory

Literature Documentation available: www.xilinx.com

Prerequisites Bachelor in Electrical Engineering or related studies, Electronic Circuits

Usability of the module

Optional module in the Master Course “Electrical Engineering and Information Technology”

Exam Oral test at the end of the course

Credit points 5 Credit points = 150 h (70 h time of attendance and 80 h autonomous work)

Work load Time of attendance 5 hours/2 weeks - laboratory

Autonomous work post processing, preparation of laboratory work, research report and exam

Availability Start every summer semester

Duration Two semesters

Responsibility Dipl.-Ing. Helmut Bresch (FEIT IIKT)

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ModuleTheoretical Neuroscience II

Objectives and contents

Objektives:

Based on Chapters 7-10 of Dayan & Abbott. Rate models of network dynamics, synaptic plasticity, reinforcement learning, and generative models. Linear models of neural networks, dynamic analysis of state-space, eigenvalue analysis of steady-states, models of activity-dependent plasticity, associative learning with neural networks, modern theories of reinforcement learning (Rescorla-Wagner, temporal-difference, actor-critic models), and abstract approaches to representational learning and generative models (expectation maximization, principal components, independent components).

To develop a deeper understanding and to acquire applied and practical skills, students perform weekly homework assignments with Matlab programming. A passing grade on all assignments is required for admission to the final exam.

The tutorial is open to all students and provides an opportunity for more extensive questions and discussions of the lecture material. It is particularly recommended forstudents with a weaker background in mathematics and physics.

Teaching Lectures and exercieses

Literature Dayan and Abbott (2001) Theoretical Neuroscience, MIT Press

Prerequisites Required: basic knowledge in Calculus und Linear Algebra.

Useful: basic knowledge in programming

Usability of the module

Master Courses in the Faculty of Electrical Engineering and Information Technology, and other Master Courses

Exam Oral test

Credit points 5 Credit Points = 150 h (70 h time of attendance + 80 h autonomous work)

Work load Time of attendance: 3 hours/week - lecture, 2 hours/week - exercises

Autonomous work: reworking of the lectures, the solution of exercises, exam preparation, project

work

Availability Every summer semester

Duration One semester

Responsibility Prof. Dr. Jochen Braun (FNW-IBIO)

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ModuleDigital Information Processing Laboratory

Objectives and contents

Objectives:

• The participant has an overview of basic methods of applied digital signal processing.

• The participant can transform physiological knowledge into technical digital signal processing methods.

• Selected Feature Space transformations and their applications are known.• Gaussian Production System Architectures are being estimated

under Maximum-Likelihood Assumptions

Contents:

1. Digital Signals and Digital LTI Systems2. Synthesis and analysis of such systems3. Selected Digital Filters4. Discrete and Fast Fourier Transformations5. Selected Feature Space transformations6. Gaussian Production System Architectures

Characteristics of Human Speech

Teaching Seminar, Laboratory Course

Literature Oppenheim, A; Schafer R (2013): "Discrete Time Signal Processing", 1056 pages,Pearson, ISBN: 978-1292025728Lathi, B P; Green, R A (2014) “Essentials of Digital Signal Processing”, 748 pages, Cambridge University Press, ISBN: 978-1-107-05932-0

Prerequisites Credits obtained in the Course „Digital Information Processing" (Wendemuth)

Usability of the module

Master Courses in the Faculty of Electrical Engineering and Information Technology, and other Master Courses

Exam Successful laboratory attendance (Praktikumsschein), and grading based on the average of the four best graded laboratory reports.

Credit points 5 Credit points = 150 h (42 h time of attendance and 108 h autonomous work)

Work load Time of attendance

• 3 hours/week - seminar + lab

course Autonomous work

Pre- and postprocessing of course; preparation of exam

Availability Summer Semester, every year

Duration One semester

Responsibility Prof. Dr. rer. nat. Andreas Wendemuth (FEIT-IIKT)

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Studienrichtung Microsystems (Field of Study Microsystems)

Die Option „Mikrosystems“ wird zurzeit nicht angeboten (not offered at the moment)

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Studienrichtung Power and Energy (Field of Study Power and Energy)

ModuleElectromagnetic Compatibility (EMC)

Objectives and contents

Objectives: The students gain information on the fundamental concepts, principles and measurement techniques of Electromagnetic Compatibility (EMC). At the end of the module they are able to understand and apply measures to improve EMC. They will be able to analyze the EMC of electrical systems.

Contents: Introduction EMC regulation EM coupling, shielding, filtering EMC analysis Interference models for special applications EMC measures in electronic circuits Measurement techniques

Teaching Lectures and exercises

Literature K.-H. Gonschoreck, R. Vick: Electromagnetic Compatibility for Device Design and System Integration. Springer Verlag

Prerequisites Bachelor in Electrical Engineering or related studies

Usability of the module

Optional module for the Master Course “Electrical Engineering andInformation Technology” and “Medial System Engineering”

Exam Oral test at the end of the course

Credit points 5 Credit points = 150 h (56 h time of attendance and 94 h autonomous work)

Work load Time of attendance 2 hours/week - lecture 2 hours/week – exercises

Autonomous work post processing of lectures and laboratory work, preparation of exercises,

laboratory work, research report and exam

Availability Every winter semester 2/2/0

Duration One semesters

Responsibility Prof. Dr. -Ing Ralf Vick (FEIT-IMT)

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ModulePower Electronic Components and Systems

Objectives and contents

Objectives:

Knowledge about power semiconductor components as part of power supply or drive systems shall be imparted, considering the mutual interaction between component and system level. Applications will be demonstrated in the exercise. To strengthen the competence for interdisciplinary work, consideration of questions of reliability shall show cross-links to related fields of engineering.

Contents: power electronic components

o functionality, ratings and characteristics of IGBT, MOSFET and diode

o packaging and assembly power electronic systems

o component stress in selected power supply and drive systems o dimensioning o reliability

Teaching Lecture, exercises

Literature Ned Mohan: Power electronics - converters, applications and design; Wiley, Hoboken NJ, 3rd edition 2003

Prerequisites Bachelor in Electrical Engineering or related studies and Master Course “Power Electronics”

Usability of the module

Selectable module for the Master Course “Electrical Engineering and Information Technology”, belonging to the field of electrical energy systems

Exam Oral examination at the end of the course

Credit points 5 Credit points = 150 h (42 h time of attendance and 108 h autonomous studies)

Work load Time of attendance 2 hours/week – lecture 1 hour/week – exercises

Autonomous work postprocessing of lectures preparation of exercises and exam

Availability Winter semester

Duration One semester

Responsibility Prof. Dr. -Ing. Andreas Lindemann (FEIT-IESY)

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ModuleRenewable Energy Sources

Objectives and contents

Objectives:

The student will learn about energy conversion processes of different types of renewable energy sources, the regulatory framework and the challenges of grid integration. Thereby, wind energy, photovoltaic systems, biomass and fuel cells are focused. Grid integration includes possibilities and limitations of energy storage as well.

Contents: Introduction to Renewable sources Legal Framework, priority and subsidies Functionality of energy conversion Introduction to Fuel Cells Introduction to energy storage

Teaching Lecture, exercises

Literature "Renewable Energy Systems Fundamentals, Technologies, Techniques and Economics”, Z. A. Styczynski, N. I. Voropai (Editors), ISBN: 978-3-940961-42-6,2010 “Power Conversion of Renewable Energy Systems”, E. F. Fuchs, Mohammad A. S. Masoum, Springer-Verlag, 2011

Prerequisites Bachelor in Electrical Engineering or related studies

Usability of the module

Optional module for the Master Course “Electrical Engineering and Information Technology”

Exam Written test at the end of the course

Credit points 5 Credit points = 150 h (42 h time of attendance and 108 h autonomous work)

Work load Time of attendance 2 hours/week - lecture 1 hours/week - exercises

Autonomous work Post processing of lectures preparation of exercises and exam

Availability Every summer semester

Duration One semester

Responsibility Prof. Dr.-Ing. habil. Martin Wolter (FEIT-IESY)

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ModulePower System Economics and Special Topics

Objectives and contents

Objectives:

The student will learn the main principles of high voltage and high current engineering the principles of materials used as isolator how to calculate economics of power systems how the energy market is structured and organized how to calculate the reliability and ability of power grid components how energy trading is organized and power prices will be calculated

Contents: 1. Electric power market and its liberalization2. Financing account 3. The costs of transmission 4. Liberalization of European energy market 5. Energy trading 6. Network reliability 7. Network planning 8. Computing in network planning 9. High voltage measurement 10. High voltage and high current generation 11. Isolation materials 12. Isolation technology engineering 13. Use of high voltage technology in testing

Teaching Lecture and exercises

Literature “Fundamentals of Power System Economics”, Daniel S. Kirschen,Goran Strbac, John Wiley & Sons Ltd, 2004 “Power System Economics: designing marktes for electricity", Steven Stoft. WileyInterscience, 2002

Prerequisites Bachelor in Electrical Engineering or related studies

Usability of the module

Optional module for the Master Course “Electrical Engineering and Information Technology”

Exam Written test at the end of the course

Credit points 5 Credit points = 150 h (42 h time of attendance and 108 h autonomous work)

Work load Time of attendance 1 hours/week - lecture 2 hours/week - exercises

Autonomous work ost processing of lectures preparation of exercises and exam

Availability Every winter semester

Duration One semester

Responsibility Prof. Dr.-Ing. habil. Martin Wolter (FEIT-IESY)

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ModuleDigital Protection of Power Networks

Objectives and contents

Objectives:The students will get acquainted with the knowledge about power systemprotection concepts as well as related digital signal processing algorithms. Thestudents will be able to use appropriate means as well as prepare settings ofprotection for any network elements and structures.

Contents: Concepts and requirements of power system protection Protection of particular network elements

o power lineso transformerso generatorso busbars

Digital signal processing for protection purposeso digital filteringo calculation of protection criteriao decision-making and logic

Adaptive and intelligent protection systemso adaptive and multi-criteria systemso artificial intelligence – based systems

wide-area protection concepts

Teaching Lecture and exercises

Literature

Prerequisites Knowledge of power system basics

Usability of the module

Optional module for the Master Course “Electrical Engineering and Information Technology”

Exam Oral/written test at the end of the course and project report

Credit points 5 Credit points = 150 h (42 h time of attendance and 92 h autonomous work)

Work load Time of attendance:

2 hours/week – lecture,

1 hour/week – exercises Autonomous work:

post-processing of lectures, preparation of project report, exam

Availability Every summer semester

Duration One semester (block-wise at the end of semester)

Responsibility Prof. Dr.-Ing. habil. Waldemar Rebizant (WUST-FEE)

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ModuleControl of AC Drives (Regelung von Drehstrommaschinen)

Objectives and contents

Objectives:

The students will get knowledge about the dynamic models of the usual AC electricmachines and the space vector representation. They will be able to understand thealgorithms for the control of AC drives and to adjust their parameters. They willalso be capable to asses advantages and drawback of the different machine typesand control algorithms depending on a given application.

Contents: Optimization of control loops The inverter as an power electronic actuator Space vector representation Model of the permanent magnet synchronous machine (PMSM) Field oriented control of the PMSM Model of the Induction machine (IM)

Field oriented control of the IM Direct torque control (DTC)

Teaching Lecture and exercises

Literature De Doncker et.al.: Advanced Electrical Drives, Analysis, Modeling, Control. Springer Science+Business Media B.V. 2011Mukhtar Ahmad: High Performance AC Drives, Modelling Analysis and Control. Springer-Verlag 2010

Prerequisites Knowledge of control systems and power electronics

Usability of the module

Compulsory module for the Master Courses ETIT-EE and EE-RE.Optional module for the Master Courses EEIT, ETIT, MTK and STK.

Exam Written test at the end of the course

Credit points 5 Credit points = 150 h (42 h time of attendance and 92 h autonomous work)

Work load Time of attendance:

2 hours/week – lecture,

1 hour/week – exercises Autonomous work:

post-processing of lectures, preparation of project report, exam

Availability Every winter semester

Duration One semester

Responsibility Prof. Dr.-Ing. Roberto Leidhold (FEIT-IESY)

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Fachübergreifend (Interdisciplinary)

ModuleIntegrated Project

Objectives and contents

Objectives:

This module serves to improve and apply the knowledge gained in a research-related topic. The student will develop his skills to work on a scientific topic under supervision. He will learn to perform research including accessible literature. In addition, the student will be able to develop his own research project.

Contents: The content of teaching is largely determined by the research project.

Teaching Scientific project

Literature

Prerequisites Bachelor in Electrical Engineering or related studies

Usability of the module

Optional module for the Master Course “Electrical Engineering and Information Technology”

Exam Research project

Credit points 10 Credit Points = 300 h (84 h time of attendance and 216 h autonomous work)

Work load Time of attendance: 6 hours/week - scientific project

autonomous work: Post processing of seminars and tutorials, preparation and performance of

scientific work, preparation of presentations, preparation of a project

Availability Every winter semester

Duration One semester

Responsibility Supervisor of the project

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ModuleUltrasonic Sensors for Imaging

Objectives and contents

Objectives: The students gain information on the fundamental concepts and principles of ultrasonic sensors and the characteristics and requirements of ultrasonic sensors for imaging. At the end of the module they are able to engineer ultrasonic sensors and apply the physics behind signal analysis for ultrasonic imaging. They will be able to join interdisciplinary groups working on ultrasonic imaging, develop new sensors and imaging schemes.

Contents: 1. Principles of generation and detection of ultrasound 2. Fundamentals of acoustic wave propagation 3. Methods of signal optimization and signal extraction 4. New trends in ultrasonic sensor development and imaging principles

Teaching Lectures and exercises

Literature Sanches, J.M., Ultrasound Imaging: Advances and Applications, Springer 2012 http://dx.doi.org/10.1007/978-1-4614-1180-2. Scabo, T.L., Diagnostic Ultrasound Imaging, Elsevier,2007

Prerequisites Bachelor in Electrical Engineering or related studies

Usability of the module

Optional module for the Master Course “Electrical Engineering and Information Technology”

Exam Oral test at the end of the module

Credit points 5 Credit Points = 150 h (42 h time of attendance + 108 h autonomous work)

Work load Time of attendance 2 hours/week - lecture 1 hour/week - exercises

Autonomous work Post processing of lectures, preparation of exercises, preparation of exam

Availability Every summer semester

Duration One semester

Responsibility Prof. Dr. -Ing. Ulrike Steinmann (FEIT IFAT)

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ModuleIntroduction into Medical Imaging Technologies

Objectives and contents

Objectives: The student will:

get on overview about modern medical imaging modalities understand the functional principle of the different technologies get to know to the most important medical applications of imaging discuss the pros and cons of the particular modalities have an overview about the required data and image processing

Content: Radiography Computed Tomography Nuclear medicine imaging (PET, SPECT) Sonography Magnetic Resonance Imaging

Teaching Lectures and tutorials

Literature provided by e-learning system

Prerequisites Mathematics, Physics, Fundamentals in Electrical Engineering, Basic understanding of medical terms

Usability of the module

Optional module

Exam Written exam of 90 minutes

Credit points 5 Credit Points = 150 h (42 h time of attendance + 108 h autonomous work)

Work load Time of attendance 2 hours/week - lecture 1 hour/week - tutorial

Autonomous work Rework of lectures and tutorial, preparation of excersices

Availability Every winter semester

Duration One semester

Responsibility Prof. Dr. rer.nat. Christoph Hoeschen

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ModulePower Systems Control and Optimization

Objectives and contents

Objectives:

Students should: learn fundamentals of automatic power system operation gain the ability to provide a stability analysis and design control laws for

specific parts of a power system, learn how to formulate and solve different kinds of optimization problems

for power systems.

Content: Relay control, automatic emergency control Generation and frequency control Voltage stability and automatic voltage regulator Economic dispatch problem Unit commitment Optimal power flow

Teaching Lectures and exercises

Literature provided by e-learning system

Prerequisites

Usability of the module

Optional module of the master courses

Exam Project, oral examination

Credit points 5 Credit Points = 150 h (42 h time of attendance + 108 h autonomous work)

Work load Time of attendance 2 hours/week - lecture 1 hour/week - tutorial

Autonomous work Rework of lectures and tutorial, preparation of excersices and examination

Availability Every summer semester

Duration One semester

Responsibility Jun.-Prof. Dr.-Ing. Stefan Palis (FEIT-IFAT)

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